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Rules

Part of Reading marketing collateral with a skeptical eye

A measurement framework for marketing collateral benchmarks

A framework for marketing collateral benchmarks: define denominators, separate readiness from outcomes, and compare only matched assets and audiences.

What to take away

  • A benchmark is a rate plus an event, denominator, window and identity rule.
  • Readiness, distribution and availability are not persuasion measures.
  • Compare like with likeformat, audience, offer, stage, channel, market, owner.
  • Publish the range and the outliers, not only the middle.
  • A dated dictionary keeps a series break from looking like a trend.
  • A maintained template library shows readiness pass rates of 70 to 90 percent typical; below 50 percent is an outlier.

What a usable baseline contains

A baseline is the value the same measure held before the campaign ran. Report it as a rate, never as a raw count. State the denominator. Possible denominators include:

Marketing collateral benchmarks only travel between teams when the asset class, audience, offer, decision stage and distribution method match. A booth card and a renewal guide are not the same asset because both are printed.

The measurement ladder

LayerExample measureWhat it cannot prove
ReadinessRelease gates passedAudience delivery
DistributionCopies placed or files sentAttention
AvailabilityStock present, file reachableComprehension
Meaningful useCompleted worksheet, qualified readCausal impact
ProgressAccepted meeting or applicationMature value
OutcomePurchase, adoption, retained useIncremental effect
Incremental effectDifference from a comparison groupNet value
Net valueIncremental value less lifecycle costUniversal transfer

How to read the measures by layer

Readiness. Baseline: percent of release gates passed on first review. Typical range: 70 to 90 percent. Outlier: below 50 percent.

Readiness Baseline Range

  • 70Maintained template library
  • 50percentNew asset class outlier

Distribution. Baseline: pieces placed per thousand addressed, or files sent per thousand eligible accounts. Typical range: 950 to 990 postal, 900 to 980 email. Outlier: below 900 or above 995.

Availability. Baseline: percent of locations holding stock on the audit date, or percent of links resolving. Typical range: 95 to 99 percent stock, 98 to 100 percent links. Outlier: below 90 percent.

Meaningful use. Baseline: qualified reads or completed worksheets per hundred distributed. Typical range: 10 to 30 per hundred. Outlier: below 5 or above 50.

Progress and outcome. Baseline: accepted meetings, applications, purchases or retained use per hundred qualified users, measured inside the maturity window the product actually has. Typical range: progress 5 to 20, outcome 1 to 10 per hundred. Outlier: progress below 2 or above 40; outcome below 1 or above 20.

Incremental effect and net value. Baseline: the same outcome in a comparison group that did not receive the collateral. Report the difference. Then subtract these costs:

  • research
  • production
  • distribution
  • service
  • waste
  • correction
LayerTypical rangeOutlier thresholdSourcePopulationPeriodCurrency
Readiness70 to 90 percentbelow 50 percentOperator reportsUS/Canada2020-2024USD
Distribution900 to 990 per thousandbelow 900 or above 995Operator reportsUS/Canada2020-2024USD
Availability95 to 100 percentbelow 90 percentOperator reportsUS/Canada2020-2024USD
Meaningful use10 to 30 per hundredbelow 5 or above 50Operator reportsUS/Canada2020-2024USD
Progress5 to 20 per hundredbelow 2 or above 40Operator reportsUS/Canada2020-2024USD
Outcome1 to 10 per hundredbelow 1 or above 20Operator reportsUS/Canada2020-2024USD

Keep the event definitions honest

Google Analytics documents custom campaign parameters for traffic-source collection. Parameters classify eligible events; they do not prove a person read a file, understood a claim, or acted because of it.

  • Deduplicate people and repeat technical events
  • Exclude employee tests, bots, previews and vendor checks
  • Separate new, existing and previously active accounts
  • Wait through cancellation, return and retention windows
  • Publish missing data and uncertainty beside the result

Preserve benchmark changes in a dated dictionary. Changes requiring a series break:

  1. qualification
  2. event collection
  3. deduplication
  4. identity
  5. attribution
  6. cost allocation
  7. outcome windows

Make the comparison reproducible

The GAO evaluation design guide connects evaluation questions with evidence needs and design choices, and Federal guidance does not make a local marketing result causal. The NIST experimental design selection guidance starts design choice with the objective and the practical constraint, which ties design choice to benchmark reporting.

NIST's engineering statistics handbook explains control-chart interpretation for process monitoring. Do not copy manufacturing limits as campaign targets; keep the time order and separate routine variation from a documented process change.

State the benchmark population and period, the inclusion rules, the calculation, the currency and the maturity window before comparing anything. Recalculate the figure from the cited source, then record any mismatch.

Common questions

What is a good scan rate?

No published universal range exists. Placement, audience, task, and code visibility all move it. Competing signage and event definitions also move it. Publish your own baseline and range.

Can downloads be the main KPI?

No published universal download-rate range exists. Only when obtaining the file is the mature intended outcome. Otherwise a download sits at the distribution or availability layer and proves nothing about use.

Which benchmark should guide renewal?

Mature incremental value, guardrails, reliability, uncertainty and full lifecycle cost for a comparable asset class. A delivery rate alone will not tell you whether to reprint.

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